The Staff Pad
Recruitment • Healthcare • Information Technology
The Staff Pad is a subscription-based staffing agency that specializes in recruiting talent across a variety of industries, including healthcare, information technology, consulting, and more. They aim to help organizations grow by providing skilled professionals ranging from nurses and IT experts to executive leaders and construction managers, ensuring clients find the right talent to drive success. The company is dedicated to streamlining the recruitment process for businesses while also supporting candidates in finding new job opportunities in their respective fields.
Director of AI and Data Technologies
Job not on LinkedIn
November 25
The Staff Pad
Recruitment • Healthcare • Information Technology
The Staff Pad is a subscription-based staffing agency that specializes in recruiting talent across a variety of industries, including healthcare, information technology, consulting, and more. They aim to help organizations grow by providing skilled professionals ranging from nurses and IT experts to executive leaders and construction managers, ensuring clients find the right talent to drive success. The company is dedicated to streamlining the recruitment process for businesses while also supporting candidates in finding new job opportunities in their respective fields.
📋 Description
• Lead the organization’s AI, machine learning, and data strategy, driving innovation. • Oversee the development, deployment, and monitoring of AI/ML models. • Promote a data-driven culture through organization-wide education and responsible AI practices. • Collaborate with executives and cross-functional leaders to embed AI and data insights into business operations. • Ensure ethical and responsible AI use, including bias mitigation and transparency. • Oversee compliance with data privacy laws and emerging AI regulatory frameworks (GDPR, CCPA, etc.).
🎯 Requirements
• 5-6 years of experience • Advanced knowledge of AI/ML, deep learning, statistical modeling, and algorithms. • Proficiency with Python, R, and modern AI frameworks (PyTorch, TensorFlow, etc.). • Experience with cloud AI and data platforms (AWS, Azure, GCP). • Strong understanding of data engineering, ETL pipelines, data warehousing, and big data technologies (Spark, Snowflake, etc.). • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, AI, or related quantitative field required. PhD preferred for highly technical leadership roles.
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